Mohammad AL-Smadi
Impact in
- Artificial Intelligence top 0.5%
- Sentiment Analysis and Opinion Mining
- Advanced Text Analysis Techniques
- Topic Modeling
- Text and Document Classification Technologies
- Natural Language Processing Techniques
- Information Systems top 2%
- Spam and Phishing Detection
- Web Data Mining and Analysis
Papers in
-
- Topic Modeling 24
- Advanced Text Analysis Techniques 23
- Sentiment Analysis and Opinion Mining 17
- Text and Document Classification Technologies 14
- Natural Language Processing Techniques 12
- Co-authors
- Mahmoud Al‐AyyoubYaser JararwehOmar QawasmehBashar TalafhaBrij B. GuptaYanyan ZhaoMaria PontikiXavier Tannier
In The Last Decade
Mohammad AL-Smadi
100 papers receiving 2.5k citations
Hit Papers
Peers
Comparison fields: 5 of 133
- Artificial Intelligence 1.9k
- Information Systems 371
- Computer Science Applications 75
- Management Science and Operations Research 91
- Computer Networks and Communications 156
Countries citing papers authored by Mohammad AL-Smadi
This map shows the geographic impact of Mohammad AL-Smadi's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Mohammad AL-Smadi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mohammad AL-Smadi more than expected).
Fields of papers citing papers by Mohammad AL-Smadi
This network shows the impact of papers produced by Mohammad AL-Smadi. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Mohammad AL-Smadi. The network helps show where Mohammad AL-Smadi may publish in the future.
Co-authors
The 25 scholars most cited alongside Mohammad AL-Smadi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 9 | |
| 2 | 2023 | 31 | |
| 3 | 2022 | 1 | |
| 4 | 2022 | 0 | |
| 5 | 2021 | 7 | |
| 6 | 2020 | 3 | |
| 7 | 2020 | 2 | |
| 8 | SAJA at TRAC 2020 Shared Task: Transfer Learning for Aggressive Identification with XGBoost. | 2020 | 2 |
| 9 | 2020 | 40 | |
| 10 | 2019 | 21 | |
| 11 | 2019 | 2 | |
| 12 | 2018 | 22 | |
| 13 | 2018 | 13 | |
| 14 | 2018 | 3 | |
| 15 | SemEval-2016 Task 5: Aspect Based Sentiment Analysis Hit paper breakdown → | 2016 | 799 |
| 16 | CSCL in non-technological environments: Evaluation of a wiki system with integrated self- and peer assessment | 2015 | 0 |
| 17 | 2013 | 4 | |
| 18 | Addressing e-Assessment practices in e-Learning Activities: A Review | 2011 | 4 |
| 19 | 2004 | 2 | |
| 20 | 1989 | 11 |
About Mohammad AL-Smadi
Mohammad AL-Smadi is a scholar working on Computer Science Applications, Artificial Intelligence, Developmental and Educational Psychology, Information Systems and Reproductive Medicine, having authored 104 papers that have together received 2.6k indexed citations. Recurring topics across this work include Topic Modeling (24 papers), Advanced Text Analysis Techniques (23 papers), Sentiment Analysis and Opinion Mining (17 papers), Innovative Teaching and Learning Methods (16 papers), Text and Document Classification Technologies (14 papers), Natural Language Processing Techniques (12 papers), Educational Technology and Assessment (9 papers) and Wireless Networks and Protocols (8 papers). The work is most often cited by research in Artificial Intelligence (1.9k citations), Information Systems (371 citations), Computer Science Applications (75 citations), Management Science and Operations Research (91 citations) and Computer Networks and Communications (156 citations). Mohammad AL-Smadi has collaborated with scholars based in Jordan, Austria and Australia. Frequent co-authors include Mahmoud Al‐Ayyoub, Yaser Jararweh, Omar Qawasmeh, Bashar Talafha, Brij B. Gupta, Yanyan Zhao, Maria Pontiki, Xavier Tannier, Orphée De Clercq and Suresh Manandhar. Their work appears in journals such as International Journal of Emerging Technologies in Learning (iJET), IEEE Access, Computer Speech & Language, Information Processing & Management and Andrologia.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.